/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "nnacl/fp32/softmax_grad_fusion_fp32.h"
#include "nnacl/intrinsics/ms_simd_instructions.h"
#include "nnacl/softmax_grad_fusion_fp32_simd.h"
#include "nnacl/sub_fp32_simd.h"

void SoftmaxGradFusionOpt(const float *a, const float *b, float *dst, int64_t m) {
  float result = 0;

  int64_t i = 0;
  SIMD_RUN_NO_SCALAR(SoftmaxGradFusionOpt, i, a, b, &result, m);
  for (; i < m; i++) {
    result += a[i] * b[i];
  }

  i = 0;
  SIMD_RUN_NO_SCALAR(ElementOptSubMul, i, a, b, result, dst, m);
  for (; i < m; i++) {
    dst[i] = a[i] * (b[i] - result);
  }
}
